Data Engineer

Plano, TX, US • Posted 11 hours ago • Updated 11 hours ago
Full Time
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Analytics
  • Apache HTTP Server
  • Cloud Computing
  • Collaboration
  • Continuous Delivery
  • Continuous Integration
  • Data Engineering
  • Data Flow
  • Data Governance
  • Data Modeling
  • Data Quality
  • Database
  • ELT
  • Extract, Transform, Load
  • Flat File
  • Git
  • Good Clinical Practice
  • Google Cloud
  • Google Cloud Platform
  • Java
  • Management
  • Orchestration
  • Python
  • Reporting
  • SQL
  • Snow Flake Schema
  • Streaming
  • Version Control
  • Workflow

Summary

Data Engineer

 

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines on Google Cloud Platform
  • Build and optimize ETL/ELT workflows using tools like Dataflow, Dataproc, and Cloud Composer
  • Develop and manage datasets, tables, and transformations in BigQuery
  • Ensure data quality, integrity, and consistency across pipelines
  • Optimize query performance and cost efficiency in BigQuery
  • Support data ingestion from multiple sources (APIs, databases, flat files, streaming data)
  • Collaborate with analytics and business teams to deliver reporting and data solutions
  • Monitor and troubleshoot pipeline failures and performance issues
  • Implement best practices for data governance, security, and compliance
  • Support ongoing data engineering operations and enhancements

🛠️ Required Skills & Qualifications

  • 5+ years of experience in data engineering / data development
  • Strong hands-on experience with Google Cloud Platform (Google Cloud Platform)
  • Expertise in:
    • BigQuery (must-have)
    • Dataflow / Apache Beam
    • Dataform
    • Cloud Run Services 
    • Cloud Storage
    • Pub/Sub (for streaming pipelines)
  • Proficiency in SQL (advanced level)
  • Experience with Python or Java for pipeline development
  • Strong understanding of data modeling (star/snowflake schemas)
  • Experience in ETL/ELT design and optimization
  • Knowledge of workflow orchestration tools (Cloud Composer / Airflow)
  • Familiarity with CI/CD practices and version control (Git)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90692381
  • Position Id: 8938386
  • Posted 11 hours ago
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